Literature DB >> 28097928

Validity and reliability of a novel iPhone app for the measurement of barbell velocity and 1RM on the bench-press exercise.

Carlos Balsalobre-Fernández1, David Marchante2, Mario Muñoz-López2, Sergio L Jiménez1.   

Abstract

The purpose of this study was to analyse the validity and reliability of a novel iPhone app (named: PowerLift) for the measurement of mean velocity on the bench-press exercise. Additionally, the accuracy of the estimation of the 1-Repetition maximum (1RM) using the load-velocity relationship was tested. To do this, 10 powerlifters (Mean (SD): age = 26.5 ± 6.5 years; bench press 1RM · kg-1 = 1.34 ± 0.25) completed an incremental test on the bench-press exercise with 5 different loads (75-100% 1RM), while the mean velocity of the barbell was registered using a linear transducer (LT) and Powerlift. Results showed a very high correlation between the LT and the app (r = 0.94, SEE = 0.028 m · s-1) for the measurement of mean velocity. Bland-Altman plots (R2 = 0.011) and intraclass correlation coefficient (ICC = 0.965) revealed a very high agreement between both devices. A systematic bias by which the app registered slightly higher values than the LT (P < 0.05; mean difference (SD) between instruments = 0.008 ± 0.03 m · s-1). Finally, actual and estimated 1RM using the app were highly correlated (r = 0.98, mean difference (SD) = 5.5 ± 9.6 kg, P < 0.05). The app was found to be highly valid and reliable in comparison with a LT. These findings could have valuable practical applications for strength and conditioning coaches who wish to measure barbell velocity in the bench-press exercise.

Keywords:  Biomechanics; performance; resistance training; smartphone

Mesh:

Year:  2017        PMID: 28097928     DOI: 10.1080/02640414.2017.1280610

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  20 in total

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8.  Analysis of Wearable and Smartphone-Based Technologies for the Measurement of Barbell Velocity in Different Resistance Training Exercises.

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10.  Bilateral and unilateral load-velocity profiling in a machine-based, single-joint, lower body exercise.

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Journal:  PLoS One       Date:  2019-09-16       Impact factor: 3.240

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